Abstract: For years, the human consciousness has challenged scientists from several areas of knowledge. In computer science, over the last decade, a significant growth in the number of studies about artificial consciousness has been observed. The architecture Baars-Franklin, developed by Stan Franklin, is a computational promising approach which is inspired by the Bernard Baars' global workspace theory. This work aims to discuss this technology and verify its advantages and disadvantages. Due to the intrinsic multidisciplinary characteristic of the study of artificial consciousness, first of all, the main general theories about consciousness are presented. After that, the most relevant studies about artificial consciousness are surveyed. Finally, the architecture Baars-Franklin is applied to control a virtual creature in an autonomous navigation problem. This dissertation brings some theoretical contributions, aggregating theories from other areas of knowledge, clarifying the architecture Baars-Franklin and showing a practical case study of the application of this model in order to build an autonomous agent.